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Machine Learning Engineer Python Jobs (NOW HIRING)

Palnar

Machine Learning Engineer@ VA/ NYC

Manhattan, NY · On-site

Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks. * 80% of model Engineering work & 20% of operations work * Email arbitration with ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

Write clean, scalable, maintainable, and well-tested Python code * Support monitoring ... of experience in machine learning engineering, software engineering, or related technical ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

... in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn - Experience with software engineering best practices, including version control, testing, and ...

Full Scope

Machine Learning Engineer

Reston, VA

Strong proficiency in programming languages such as Python, R, or Java. * Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Solid ...

ICONMA

Machine Learning Engineer

Mclean, VA

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning ... Python, AWS, Kubernetes, Kubeflow, MLOps, ML Tooling - Spark, Pandas, Numpy * Good to have: Data ...

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How much do machine learning engineer python jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning engineer python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

More about Machine Learning Engineer Python jobs
What cities are hiring for Machine Learning Engineer Python jobs? Cities with the most Machine Learning Engineer Python job openings:
What states have the most Machine Learning Engineer Python jobs? States with the most job openings for Machine Learning Engineer Python jobs include:
What job categories do people searching Machine Learning Engineer Python jobs look for? The top searched job categories for Machine Learning Engineer Python jobs are:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in the United States as of May 2026, with employment types broken down into 38% Full Time, 59% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Machine Learning Engineer - Python

drc

Maple Grove, MN

Other

Posted 17 days ago

Job description

Machine Learning Engineer

Data Recognition Corporation, Maple Grove MN

Company cannot provide sponsorship for this role

Please, no agencies or third parties

Summary: 

DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing productionready ML models. Working within an interdisciplinary team, you will develop Pythonbased AI solutions that run in scalable, cloudnative environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.

Essential Responsibilities:

 

  • Design, train, evaluate and iterate on machine learning models to support DRC’s education analytics products
  • Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
  • Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
  • Diagnose and communicate issues related to model performance, data quality, or deployment behavior
  • Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Contribute to best practices for model versioning, reproducibility and monitoring.

Required Qualifications:

 

  • 2-5 years of professional experience with Python.
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Experience preparing datasets, training models and evaluating performance
  • Hands-on experience with NLP techniques and large language models (e.g., transformers)
  • Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
  • Ability to communicate technical findings and issues clearly across teams
  • Familiary with deploying ML models to cloud-based environments (AWS preferred)
  • Understanding of CI/CD concepts and how models move from experimentation to production
  • Ability to identify and articulate deployment related issues without owning implementation

Preferred Qualifications (nice to have, not required):

 

  • Associates or Bachelor’s degree in Computer Science, Information Systems, Data Science or related technical field.
  • Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data
  • Experience working with version control (Git) and a collaborative development workflow

Essential Job Requirements:

  • Be able to work under supervision and accept feedback
  • Familiarity with Microsoft Office Suite
  • Relate effectively and work respectfully with diverse work groups
  • Ability to consistently perform well during times of increased workload
  • Set and meet deadlines
  • Manage multiple job functions simultaneously

 

Reporting to this position: No direct reports

DRC retains the right to change or assign other duties to this position

No Agencies, Please

Company cannot provide sponsorship for this position

www.datarecognitioncorp.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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